CBR – Case Based Reasoning

CBR is a tool which represents knowledge and “best practices” for mechatronic products. It helps in the design of mechatronic products utilising the acquired company knowledge on similar products and generic eco-design guidelines from literature.


The eco-design guidelines can be divided into general purpose guidelines and specific guidelines. The general purpose guidelines are grouped by life cycle phase (material selection, process selection, transport, use, end of life) and represent the state of the art in these areas. Specific guidelines for mechatronic product are based on the implemention of the eco-design directive on Energy related products – the ErP-directives for each product type.  The specific guidelines concentrate mainly on the use phase, and in particular on the reduction of the energy and other consumables, such as water.

The knowledge is collected based on the choices made by the designer when designing similar products. From this knowledge the design process can be assisted and guided in the selection of the best material, component and so on.

In order to manage the product knowledge, mechatronic products are grouped in categories (washing machines, ovens, dishwashers, fridges, cooker hoods, etc.). Each component will belong to a standard functional group (e.g. electric motors in cooker hoods, heat resistance in washing machines). In this way the tool is able to further classify the product knowledge.

The knowledge is essentially a database, divided in product categories, which contains all the information and data defined by the designer during G.EN.ESI platform use.

For further information please contact


Prof. Michele Germani (m.germani@univpm.it)

Ing. Marco Mandolini (m.mandolini@univpm.it)

Ing. Marco Marconi (marco.marconi@univpm.it)

Ing. Marta Rossi (marta.rossi@univpm.it)

T. +39 071 220 4799   -   F. +39 071 220 4801

This project is co-financed by the European Commission and made possible within the VII Framework Programme FP7-NMP-201 l-SMALL-5 - Grant Agreement Number 280371.